Since the release of blockchain technology back in 2008, a huge number of blockchain-based systems have been developed. As of Sep’22, there are at least 1,000 blockchain systems ready to be used, with at least four t...
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Since the release of blockchain technology back in 2008, a huge number of blockchain-based systems have been developed. As of Sep’22, there are at least 1,000 blockchain systems ready to be used, with at least four types of networks: public, private, hybrid, and consortium. With the many options you can choose from, a valid question arises: How can we choose a system that fits best with our needs? The purpose of Blockchain Pedia is to help users make the best decision in choosing the right blockchain system, giving the possibility to see the differences between multiple options. The application is designed for anyone who wants to build a project based on blockchain technology, giving recommendations based on the needs of the developer.
For passive bistatic radar (PBR), it is convenient to use software method to realise the signal processing. However, because of the huge amount of data computing, it is difficult to achieve the real-time signal proces...
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For passive bistatic radar (PBR), it is convenient to use software method to realise the signal processing. However, because of the huge amount of data computing, it is difficult to achieve the real-time signal processing by software method only with server that uses CPU for calculation. To solve the problem, the PBR signal processing method with multi-CPUs based on pipeline processing is studied. The key point of the method is to improve the parallelism of the signal processing algorithm and to use all the CPU cores efficiently for parallel computing. The whole PBR signal processing is divided into several steps, such as clutter cancellation, correlation processing, CFAR detection and so on, and each step employs different CPU resources that contain many cores. The data processed in each steps is also divided into several pieces to fully use all the CPU cores. At last, the signal processing in software for digital television terrestrial broadcasting (DTTB) signal is achieved based on the method. The experiment is carried out to verify the method. In the experiment, the whole signal processing time for DTTB signal is much less than the time of signal to be processed, and the signal processing output is continuous.
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